interpretability

14 projects share this GitHub topic

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🧬 Members

A game theoretic approach to explain the output of any machine learning model.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine…

Algorithms for explaining machine learning models

A JAX research toolkit for building, editing, and visualizing neural networks.

Locating and editing factual associations in GPT (NeurIPS 2022)

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Interpretability for sequence generation models 🐛 🔍

Chat2Graph: Graph Native Agentic System.

Awesome-Attention-Heads

An awesome repository & A comprehensive survey on interpretability of LLM attention heads.

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

This repository introduces MentaLLaMA, the first open-source instruction following large language model for…

Interpretable Causal Diffusion Language Models

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer,…

🔗 Related families

explainability 7 explainable-ai 14 huggingface 86 language-model 114 attention-mechanism 54 transformer 62 llama2 40 data-mining 27

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